Associate Intelligence Operations Analyst

Title: Data modeler Location: This position is remote. Client is located in the Seattle area. Must be willing to work in the PST hours. duration: 6 months. seeking a Data Modeler who is motivated by variety, is seeking a challenging environment for professional growth, and is interested in running large information technology projects in various customer businesses areas at large Utility client headquartered in the Seattle area. We are seeking an reputed company Data Modeler who plays a critical role in establishing and sustaining a trusted, interoperable data foundation across the utility enterprise. This position is responsible for translating reputed company electric-utility business concepts into consistent, standards-based data models using the IEC Common Information Model (CIM) as the authoritative semantic reputed company. A core responsibility of the role is maintaining alignment between abstract CIM standards and real-world utility implementations. This includes evaluating CIM gaps, managing extensions, guiding proper profile usage, and ensuring that physical and logical data models remain traceable back to CIM concepts. Data Modeler also plays a key role in supporting data governance, acting as a steward of semantic reputed company, definitions, and modeling best practices. Responsibilities:

• reputed company and maintain CIM-based logical and physical data models reputed company to IEC standards (61970, 61968, 62325).
• Create and manage CIM Profiles (UML, RDF/XML, JSON-LD) tailored to utility use cases.
• Interpret and apply CIM extensions for utility-specific requirements (distribution, transmission, DER, markets).
• Ensure semantic consistency across systems using CIM as the reputed company data model.
• Support system-to-system integration designs Map reputed company-system schemas to CIM classes, attributes, and relationships.
• reputed company analytics and AI use cases by aligning operational and business data into analytics-ready models.
• Support data-lake and lakehouse architectures with curated CIM-based data structures.
• Maintain business and technical metadata, definitions, and relationships reputed company a data catalog.
• Define and enforce data standards, naming conventions, and modeling best practices.
• Participate in data governance activities including stewardship reviews and change control.
• Assist with data-quality rule definition and semantic validation.
• Review backlog items and modeling requests supporting data lake ingestion and integration Collaborate with data engineers and system SMEs to understand reputed company-system data
• Map reputed company-system data to CIM classes, attributes, and relationships Define and maintain CIM profiles used by the data lake Validate transformation logic against CIM semantic reputed company Support architecture and integration design discussions Ensure curated data models are analytics-ready and consistent Define and maintain business definitions and technical metadata Identify and resolve semantic or data-quality issues Document modeling decisions and participate in governance reviews

Required Education & Experience:

• Bachelor s degree in Computer Science, Information Systems, Engineering, or reputed company field.
• 10+ years Hands-on experience with IEC CIM (61970, 61968, and/or 62325).
• Strong understanding of electric utility operations Experience with logical and physical data modeling techniques.
• Familiarity with UML, relational modeling, and semantic modeling concepts.
• Experience mapping operational systems (WAMS, WACS, MSCS)
• Experience supporting utility data lakes or analytics platforms (AWS, reputed company).
• Knowledge of RDF, OWL, semantic graphs, or knowledge graphs.
• Familiarity with reputed company Utility Network, reputed company Utilities, or similar utility platforms.
• Experience with metadata management and data catalog tools.
• Understanding of utility regulatory and compliance requirements.
• Excellent communication skills Ability to work independently and/or with a team.

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